
Caffe Barista: Brewing Caffe with FPGAs in the Training Loop
As the complexity of deep learning (DL) models increases, their compute ...
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MultiPrecision Policy Enforced Training (MuPPET): A precisionswitching strategy for quantised fixedpoint training of CNNs
Largescale convolutional neural networks (CNNs) suffer from very long t...
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Now that I can see, I can improve: Enabling datadriven finetuning of CNNs on the edge
In today's world, a vast amount of data is being generated by edge devic...
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Approximate LSTMs for TimeConstrained Inference: Enabling Fast Reaction in SelfDriving Cars
The need to recognise longterm dependencies in sequential data such as ...
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A Scalable FPGAbased Architecture for Depth Estimation in SLAM
The current state of the art of Simultaneous Localisation and Mapping, o...
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DroNet: Efficient convolutional neural network detector for realtime UAV applications
Unmanned Aerial Vehicles (drones) are emerging as a promising technology...
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CascadeCNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks
This work presents CascadeCNN, an automated toolflow that pushes the qua...
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Deploying Deep Neural Networks in the Embedded Space
Recently, Deep Neural Networks (DNNs) have emerged as the dominant model...
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fCNN^x: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs
The predictive power of Convolutional Neural Networks (CNNs) has been an...
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CascadeCNN: Pushing the performance limits of quantisation
This work presents CascadeCNN, an automated toolflow that pushes the qua...
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Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions
In the past decade, Convolutional Neural Networks (CNNs) have demonstrat...
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Approximate FPGAbased LSTMs under Computation Time Constraints
Recurrent Neural Networks and in particular Long ShortTerm Memory (LSTM...
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fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs
In recent years, Convolutional Neural Networks (ConvNets) have become an...
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ChristosSavvas Bouganis
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